Tan Wang

419 total citations
23 papers, 316 citations indexed

About

Tan Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cancer Research. According to data from OpenAlex, Tan Wang has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 7 papers in Cancer Research. Recurrent topics in Tan Wang's work include Cancer-related molecular mechanisms research (6 papers), Power Systems and Renewable Energy (3 papers) and RNA modifications and cancer (3 papers). Tan Wang is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), Power Systems and Renewable Energy (3 papers) and RNA modifications and cancer (3 papers). Tan Wang collaborates with scholars based in China, United States and United Kingdom. Tan Wang's co-authors include Chuanwen Jiang, Yu Gong, Jiangwei Xiao, Haohuan Li, Yajun Luo, Zhiheng Lin, Yao Lin, Wenqian Zhou, Zhiming Fu and Fei Lu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Free Radical Biology and Medicine and IEEE Access.

In The Last Decade

Tan Wang

19 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tan Wang China 9 149 139 58 43 40 23 316
Wenjing Dai China 12 140 0.9× 94 0.7× 40 0.7× 71 1.7× 41 1.0× 29 433
Xianning Wang China 7 63 0.4× 59 0.4× 43 0.7× 57 1.3× 43 1.1× 19 354
Qiuyu Wang China 15 570 3.8× 284 2.0× 13 0.2× 41 1.0× 49 1.2× 53 744
Qingman Li China 10 128 0.9× 73 0.5× 8 0.1× 58 1.3× 23 0.6× 17 337
Wenqian Fang China 11 96 0.6× 35 0.3× 15 0.3× 15 0.3× 16 0.4× 15 313
Yi‐Hsuan Chen Taiwan 12 43 0.3× 34 0.2× 154 2.7× 61 1.4× 46 1.1× 27 385
Pingping Dai China 4 70 0.5× 70 0.5× 16 0.3× 8 0.2× 71 1.8× 16 181
Jieru Wang China 11 158 1.1× 76 0.5× 3 0.1× 94 2.2× 49 1.2× 26 426
Xuhai Zhao China 9 386 2.6× 349 2.5× 6 0.1× 18 0.4× 28 0.7× 16 522

Countries citing papers authored by Tan Wang

Since Specialization
Citations

This map shows the geographic impact of Tan Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Wang more than expected).

Fields of papers citing papers by Tan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tan Wang. The network helps show where Tan Wang may publish in the future.

Co-authorship network of co-authors of Tan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tan Wang. A scholar is included among the top collaborators of Tan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tan Wang. Tan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Mingyi, et al.. (2025). Enterprise green innovation: The role of data factor inputs. International Review of Economics & Finance. 105. 104769–104769.
2.
Wang, Tan, et al.. (2025). Wronskian determinant solutions for the $$(3+1)$$-dimensional Hirota–Satsuma–Ito-like equation. The European Physical Journal Special Topics. 234(18). 5653–5664.
3.
Chen, Mengzhu, et al.. (2025). Jujuboside B Inhibits the Proliferation and Migration of Non-Small Cell Lung Cancer H1299 Cells Through Inhibiting PI3K/Akt and Wnt/β-Catenin Pathways. Cancer Management and Research. Volume 17. 1143–1153. 1 indexed citations
4.
Zhu, Jingyu, Tan Wang, Nannan Wang, et al.. (2025). Guiqi Yishen granule alleviates obstructive nephropathy-induced renal fibrosis by targeting PI3K/AKT signaling pathway. Journal of Ethnopharmacology. 354. 120490–120490. 1 indexed citations
5.
Chen, Shuyang, et al.. (2024). Factors Influencing the Fasting Time in Adult Patients After the Endoscopic Management of Sharp Esophageal Foreign Bodies. Therapeutics and Clinical Risk Management. Volume 20. 39–45.
6.
Zhou, Wenqian, Zhiheng Lin, & Tan Wang. (2024). Deciphering the molecular landscape: integrating single-cell transcriptomics to unravel myofibroblast dynamics and therapeutic targets in clear cell renal cell carcinomas. Frontiers in Immunology. 15. 1374931–1374931. 36 indexed citations
7.
Lin, Yao, et al.. (2023). LINC01268 promotes epithelial-mesenchymal transition, invasion and metastasis of gastric cancer via the PI3K/Akt signaling pathway and targeting MARCKS. World Journal of Gastrointestinal Oncology. 15(8). 1366–1383. 3 indexed citations
8.
Luo, Yajun, Haohuan Li, Yao Lin, et al.. (2022). Functional role of the SLC7A11-AS1/xCT axis in the development of gastric cancer cisplatin-resistance by a GSH-dependent mechanism. Free Radical Biology and Medicine. 184. 53–65. 39 indexed citations
9.
Wang, Tan & L. Jeff Hong. (2022). Large-Scale Inventory Optimization: A Recurrent Neural Networks–Inspired Simulation Approach. INFORMS journal on computing. 35(1). 196–215. 10 indexed citations
10.
Zhang, Shengyu, Tan Wang, Kun Kuang, et al.. (2021). DeVLBert: Out-of-distribution Visio-Linguistic Pretraining with Causality. 1744–1747.
11.
Lin, Yao, Tan Wang, Yajun Luo, et al.. (2020). Decreased expression of the long non-coding RNA HOXD-AS2 promotes gastric cancer progression by targeting HOXD8 and activating PI3K/Akt signaling pathway. World Journal of Gastrointestinal Oncology. 12(11). 1237–1254. 12 indexed citations
12.
Wang, Xianfei, Yajun Luo, Haohuan Li, et al.. (2020). Cantharidin suppresses gastric cancer cell migration/invasion by inhibiting the PI3K/Akt signaling pathway via CCAT1. Chemico-Biological Interactions. 317. 108939–108939. 46 indexed citations
13.
14.
Wang, Tan, et al.. (2019). Research on Development of Energy Storage Frequency Auxiliary Service in Hybrid Delivery Grid. 47. 1161–1165. 1 indexed citations
15.
Feng, Yang, Zhiming Fu, Yajun Luo, et al.. (2019). Long non-coding RNA RP11-6O2.4 indicates poor prognosis and suppresses cell cycle progression through the p38-MAPK signaling pathway in gastric cancer. Molecular & Cellular Toxicology. 15(3). 335–344. 3 indexed citations
16.
Luo, Yajun, Tan Wang, Haohuan Li, et al.. (2018). The long non-coding RNA LINC01606 contributes to the metastasis and invasion of human gastric cancer and is associated with Wnt/β-catenin signaling. The International Journal of Biochemistry & Cell Biology. 103. 125–134. 32 indexed citations
17.
Matsuda, Yoko, Tan Wang, Junko Aida, et al.. (2017). Clinicopathological characteristics of distant metastases of adenocarcinoma, squamous cell carcinoma and urothelial carcinoma: An autopsy study of older Japanese patients. Geriatrics and gerontology international. 18(2). 211–215. 4 indexed citations
18.
Luo, Yajun, Cheng Wang, Yong Peng, et al.. (2017). Decreased expression of the long non-coding RNA SLC7A11-AS1 predicts poor prognosis and promotes tumor growth in gastric cancer. Oncotarget. 8(68). 112530–112549. 36 indexed citations
19.
Wang, Tan, et al.. (2016). Security Constrained Unit Commitment Problem Considering Carbon Emission Allocation and Demand Side Resources. 40(11). 3361. 3 indexed citations
20.
Wang, Tan, Yu Gong, & Chuanwen Jiang. (2014). A review on promoting share of renewable energy by green-trading mechanisms in power system. Renewable and Sustainable Energy Reviews. 40. 923–929. 65 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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